Comparison of Three Methods for Estimating Complete Life Tables

A question of interest in the demographic and actuarial fields is the estimation of the complete sets of q(x) values when the data are given in age groups. When the complete life tables are not available, estimating it from abridged life tables is necessary. Three methods such as King's Osculat...

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Main Author: RI, Ibrahim,
Format: Conference Paper
Language:en_US
Published: Amer Inst Physics 2015
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Online Access:http://ddms.usim.edu.my/handle/123456789/8924
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spelling my.usim-89242015-08-05T01:38:56Z Comparison of Three Methods for Estimating Complete Life Tables RI, Ibrahim, King's Osculatory Interpolation Six-point Lagrangian Interpolation Heligman Pollard Model A question of interest in the demographic and actuarial fields is the estimation of the complete sets of q(x) values when the data are given in age groups. When the complete life tables are not available, estimating it from abridged life tables is necessary. Three methods such as King's Osculatory Interpolation, Six-point Lagrangian Interpolation and Heligman-Pollard Model are compared using data on abridged life tables for Malaysian population. Each of these methods considered was applied on the abridged data sets to estimate the complete sets of q(x) values. Then, the estimated complete sets of q(x) values were used to produce the estimated abridged ones by each of the three methods. The results were then compared with the actual values published in the abridged life tables. Among the three methods, the Six-point Lagrangian Interpolation method produces the best estimates of complete life tables from five-year abridged life tables. 2015-08-05T01:38:56Z 2015-08-05T01:38:56Z 2013-01-01 Conference Paper 9780-7354-1150-0 0094-243X http://ddms.usim.edu.my/handle/123456789/8924 en_US Amer Inst Physics
institution Universiti Sains Islam Malaysia
building USIM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universit Sains Islam i Malaysia
content_source USIM Institutional Repository
url_provider http://ddms.usim.edu.my/
language en_US
topic King's Osculatory Interpolation
Six-point Lagrangian Interpolation
Heligman Pollard Model
spellingShingle King's Osculatory Interpolation
Six-point Lagrangian Interpolation
Heligman Pollard Model
RI, Ibrahim,
Comparison of Three Methods for Estimating Complete Life Tables
description A question of interest in the demographic and actuarial fields is the estimation of the complete sets of q(x) values when the data are given in age groups. When the complete life tables are not available, estimating it from abridged life tables is necessary. Three methods such as King's Osculatory Interpolation, Six-point Lagrangian Interpolation and Heligman-Pollard Model are compared using data on abridged life tables for Malaysian population. Each of these methods considered was applied on the abridged data sets to estimate the complete sets of q(x) values. Then, the estimated complete sets of q(x) values were used to produce the estimated abridged ones by each of the three methods. The results were then compared with the actual values published in the abridged life tables. Among the three methods, the Six-point Lagrangian Interpolation method produces the best estimates of complete life tables from five-year abridged life tables.
format Conference Paper
author RI, Ibrahim,
author_facet RI, Ibrahim,
author_sort RI, Ibrahim,
title Comparison of Three Methods for Estimating Complete Life Tables
title_short Comparison of Three Methods for Estimating Complete Life Tables
title_full Comparison of Three Methods for Estimating Complete Life Tables
title_fullStr Comparison of Three Methods for Estimating Complete Life Tables
title_full_unstemmed Comparison of Three Methods for Estimating Complete Life Tables
title_sort comparison of three methods for estimating complete life tables
publisher Amer Inst Physics
publishDate 2015
url http://ddms.usim.edu.my/handle/123456789/8924
_version_ 1645152501816623104
score 13.222552